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0036697
Training in progress epoch 0
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README.md
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tags:
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- generated_from_keras_callback
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model-index:
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- name: layoutlm-funsd-tf
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# layoutlm-funsd-tf
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer:
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- training_precision: mixed_float16
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### Training results
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### Framework versions
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tags:
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- generated_from_keras_callback
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model-index:
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- name: pbrennanwhite/layoutlm-funsd-tf
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# pbrennanwhite/layoutlm-funsd-tf
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This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 1.6675
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- Validation Loss: 1.3532
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- Train Overall Precision: 0.3327
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- Train Overall Recall: 0.3477
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- Train Overall F1: 0.3400
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- Train Overall Accuracy: 0.5549
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- Epoch: 0
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
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- training_precision: mixed_float16
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### Training results
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| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
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|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
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| 1.6675 | 1.3532 | 0.3327 | 0.3477 | 0.3400 | 0.5549 | 0 |
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### Framework versions
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config.json
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{
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"_name_or_path": "
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"architectures": [
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"LayoutLMForTokenClassification"
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],
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{
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"_name_or_path": "microsoft/layoutlm-base-uncased",
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"architectures": [
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"LayoutLMForTokenClassification"
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],
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logs/train/events.out.tfevents.1676996125.d0d991a3ca9b.104400.0.v2
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logs/validation/events.out.tfevents.1676996150.d0d991a3ca9b.104400.1.v2
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tf_model.h5
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